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Analytic Developer Jobs in Providence, RI (NOW HIRING)

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Analytic Developer information

See Providence, RI salary details

$40.4K

$130.7K

$160.1K

How much do analytic developer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for analytic developer in Providence, RI is $130,672.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $158,600.00 per year, depending on experience, location, and employer.

What is an analytic developer?

An Analytic Developer is a professional who designs, develops, and maintains data analytics solutions, such as dashboards, reports, and data models. They work with large datasets, using programming languages and analytics tools to transform raw data into actionable insights for businesses. Analytic Developers collaborate with data scientists, business analysts, and stakeholders to understand requirements and deliver effective data-driven solutions. Their role often involves both technical skills in data processing and a strong understanding of business objectives.

What skills and qualifications are needed to thrive as an analytic developer?

To thrive as an Analytic Developer, you need strong analytical skills, proficiency in data modeling, and experience with programming languages such as SQL, Python, or R, often supported by a relevant degree in computer science, mathematics, or statistics. Familiarity with business intelligence tools (like Tableau or Power BI), data warehousing systems, and sometimes certifications in analytics or cloud platforms are typically required. Problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating data insights into actionable solutions. These skills and qualities are essential for extracting meaningful insights from complex data sets and enabling data-driven decision-making within organizations.

How does an analytic developer typically collaborate with data scientists and business stakeholders during a project?

Analytic Developers often serve as a bridge between data scientists, who design statistical models, and business stakeholders, who use the insights for decision-making. In a typical project, the Analytic Developer works closely with data scientists to translate algorithms into scalable, production-ready code, and partners with stakeholders to gather requirements and refine deliverables. They also help ensure that data pipelines and visualization tools are aligned with business needs, facilitating smooth communication and efficient project execution.

What is the difference between Analytic Developer vs Data Analyst?

AspectAnalytic DeveloperData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, R skillsBachelor's in Statistics, Math, or related; SQL, Excel, data visualization skills
Work EnvironmentDevelops analytics tools, dashboards, and data pipelines; often in tech or finance sectorsAnalyzes data sets, creates reports, and visualizations; in various industries including marketing and healthcare
Employer & Industry UsageUsed by companies needing custom analytics solutions and data infrastructureCommon in organizations requiring data insights and reporting

While both roles involve working with data, Analytic Developers focus on building analytics tools and data pipelines, often requiring programming skills. Data Analysts primarily interpret data, create reports, and visualize insights. The roles overlap in skills like SQL and data handling but differ in their core responsibilities and technical depth.

Cloud ThoughtSpot Senior Developer

North Providence, RI

Long Finch Technologies
IT Services • 51 - 200 employees
Learn more about Long Finch Technologiesexternal

Full-time

Posted 25 days ago

Job description

We are seeking an experienced Senior ThoughtSpot Developer with 8–10 years of experience in Business Intelligence, Analytics, Data Warehousing, and Cloud technologies. The ideal candidate will have strong hands-on experience with ThoughtSpot development and administration, along with expertise in cloud platforms and modern cloud data warehouses.

Required Skills ThoughtSpot
  • 5+ years of hands-on experience with ThoughtSpot development and administration.
  • Strong experience creating Worksheets, Liveboards, Answer Boards, and Search-driven Analytics.
  • Strong understanding of ThoughtSpot data modeling, metadata management, and security.
  • Experience integrating ThoughtSpot with cloud data platforms.
  • Experience with ThoughtSpot performance tuning and query optimization.
  • Ability to develop reusable analytics frameworks and best practices.
Cloud & Data Platforms
  • Hands-on experience with at least one major cloud platform:
    • AWS
    • Azure
    • GCP
  • Experience working with cloud-native data warehouses/data platforms such as:
    • Snowflake
    • BigQuery
    • Amazon Redshift
    • Azure Synapse
    • Databricks
  • Strong understanding of cloud-based data engineering and analytics architectures.
SQL
  • Strong SQL skills for data analysis, transformation, troubleshooting, and query optimization.
  • Experience working with large-scale analytical datasets.
Key Responsibilities
  • Design and develop enterprise analytics solutions using ThoughtSpot.
  • Create and maintain Worksheets, Liveboards, Answer Boards, and ThoughtSpot data models.
  • Integrate ThoughtSpot with cloud data warehouses and data lakes.
  • Gather analytics and reporting requirements from business stakeholders.
  • Perform performance tuning and optimization of ThoughtSpot solutions.
  • Establish reusable frameworks, standards, and best practices for analytics delivery.
  • Ensure security, governance, and compliance standards are followed.
  • Participate in architecture and cloud modernization initiatives.
  • Collaborate with data engineering, cloud, and business teams.
  • Mentor junior developers and provide technical leadership.

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